iPhone 12 Pro
Geekbench AI Score
1954
Single Precision Score
3024
Half Precision Score
2742
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
989
184.0 IPS |
|
|
Image Classification (HP)
|
100% |
1348
250.6 IPS |
|
|
Image Classification (Q)
|
96% |
1363
254.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1014
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1171
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2533
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
8043
9.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
6664
7.81 IPS |
|
|
Object Detection (SP)
|
100% |
1073
85.1 IPS |
|
|
Object Detection (HP)
|
97% |
1755
139.7 IPS |
|
|
Object Detection (Q)
|
94% |
1102
87.9 IPS |
|
|
Face Detection (SP)
|
100% |
2164
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2321
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
1880
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3561
27.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4969
38.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
5907
46.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6496
8.35 IPS |
|
|
Style Transfer (HP)
|
100% |
11597
14.9 IPS |
|
|
Style Transfer (Q)
|
96% |
9891
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2305
85.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3252
120.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2367
87.4 IPS |
|
|
Text Classification (SP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3568
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1228
21.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1909
33.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2211
38.2 IPS |
